Discovery and scope
We clarify the research question, intended outputs, available evidence, project constraints, responsibilities and expected use of the findings.
AfroBiomics
Loading scientific content.
The requested page is being prepared.
AfroBiomics
The requested page is being prepared.
How we work
Every engagement is shaped by the scientific question, study design, available data, intended use of the results, and the evidence required to support a decision or publication
Our approach
We begin by clarifying the biological problem and reviewing the study design before selecting methods. This avoids unnecessary analysis, identifies limitations early and creates a shared understanding of the expected outputs, responsibilities and decision points.
Project pathway
We clarify the research question, intended outputs, available evidence, project constraints, responsibilities and expected use of the findings.
We assess the structure, quality, completeness and suitability of the available data in relation to the scientific objectives.
We define the methods, quality controls, reference datasets, comparison framework, reporting structure and criteria for interpretation.
Analyses are conducted through documented workflows with recorded software versions, parameters, transformations and quality checks.
Results are evaluated against the biological question, study design, uncertainty, alternative explanations and relevant scientific evidence.
We provide agreed datasets, scripts, tables, figures, methods and reports, followed by explanation of the findings and next analytical priorities.
Working principles
Methods are selected for their suitability to the question, data and study design, not simply because they are widely used.
Data quality, reference suitability, assumptions and failure points are examined before conclusions are developed.
Analytical provenance is maintained through versioned code, parameter records and structured project outputs.
Technical findings are translated into interpretable scientific results without concealing limitations or overstating certainty.
Quality and reproducibility
Quality is treated as a continuous part of the analytical process. We document data checks, exclusions, software, parameters, reference resources and transformations; separate exploratory findings from confirmatory evidence; and report limitations that affect interpretation, reproducibility or future use of the results.
Project planning